1 00:00:00,640 --> 00:00:02,960 Speaker 1: I'll get at and welcome to another installment of the show. 2 00:00:03,000 --> 00:00:07,080 Speaker 1: The show that is your favorite podcast. Well maybe maybe not, 3 00:00:07,320 --> 00:00:10,000 Speaker 1: but some of you it's favorite podcast because you tell 4 00:00:10,080 --> 00:00:13,319 Speaker 1: us and thank you. And also, if you're not a 5 00:00:13,320 --> 00:00:15,800 Speaker 1: member of the Facebook group that we have, which is 6 00:00:15,880 --> 00:00:19,079 Speaker 1: creatively called the You Project Facebook group, I know Tiff 7 00:00:19,120 --> 00:00:22,439 Speaker 1: and I worked on that for fucking weeks. We rang David, 8 00:00:22,520 --> 00:00:28,120 Speaker 1: he consulted, We had a team, you know, pr advertising, branding, marketing. 9 00:00:28,160 --> 00:00:31,560 Speaker 1: We came up with that. Feel free to get involved. 10 00:00:31,680 --> 00:00:33,680 Speaker 1: And not only is it good because it's a good community, 11 00:00:33,680 --> 00:00:37,800 Speaker 1: but David James, Kevin Patrick Gillespie writes articles and puts 12 00:00:37,840 --> 00:00:41,800 Speaker 1: some of them up there for your perusal and cognitive 13 00:00:41,920 --> 00:00:44,240 Speaker 1: and emotional and psychological digestion. 14 00:00:45,479 --> 00:00:50,240 Speaker 2: Tiff High, Hi Phil, You're on fire today? 15 00:00:51,120 --> 00:00:55,360 Speaker 1: The only Child? Pick the only Child? You know what? 16 00:00:55,480 --> 00:00:56,080 Speaker 1: Last night? 17 00:00:56,240 --> 00:00:58,400 Speaker 3: Hi David, Hey, how's it going, Graig? 18 00:00:58,920 --> 00:01:01,040 Speaker 1: But thank you? Last night I did a workshop called 19 00:01:01,080 --> 00:01:04,800 Speaker 1: pre Season twenty twenty five for anyway, just talking about 20 00:01:04,840 --> 00:01:06,800 Speaker 1: getting our shit together in the next year, as we 21 00:01:06,840 --> 00:01:09,240 Speaker 1: always do before the end of the current year that 22 00:01:09,280 --> 00:01:15,240 Speaker 1: we're in. But I had I shouldn't say this, but 23 00:01:15,319 --> 00:01:19,120 Speaker 1: fuck it. Whatever, little credibility I have left. I'm just 24 00:01:19,160 --> 00:01:21,040 Speaker 1: going to say to the world. Every now and then, 25 00:01:21,080 --> 00:01:23,759 Speaker 1: about once a month, I have a nicorette, two milligram 26 00:01:23,800 --> 00:01:28,040 Speaker 1: nicorette because it just wow. So last night was the night, 27 00:01:29,120 --> 00:01:32,559 Speaker 1: and I also had with me. I had a coffee 28 00:01:32,600 --> 00:01:38,440 Speaker 1: and a coke, so I had double caffeine and nicotine. 29 00:01:38,520 --> 00:01:40,319 Speaker 1: And I know a lot of my listeners are right 30 00:01:40,319 --> 00:01:43,160 Speaker 1: now disappointed. I do not smoke, don't do drugs, don't 31 00:01:43,160 --> 00:01:45,560 Speaker 1: do booze. But about once a month I have a 32 00:01:45,600 --> 00:01:46,920 Speaker 1: two milligram nickeline. 33 00:01:47,480 --> 00:01:49,400 Speaker 3: How could you fit the smoking and the booze in 34 00:01:49,440 --> 00:01:50,040 Speaker 3: with all of that? 35 00:01:50,600 --> 00:01:54,320 Speaker 1: I know, I know. Fuck. I was on fire. My 36 00:01:54,440 --> 00:01:57,760 Speaker 1: brain was just it was just the only problem was 37 00:01:57,880 --> 00:02:00,920 Speaker 1: at midnight, when I'm usually three hours into my slumber, 38 00:02:01,200 --> 00:02:06,160 Speaker 1: it's fucking noz's to be seen. Do you sleep well? 39 00:02:06,200 --> 00:02:08,360 Speaker 1: Go less bo ah? 40 00:02:08,440 --> 00:02:08,919 Speaker 3: Yeah? 41 00:02:09,080 --> 00:02:13,360 Speaker 1: Usually Do you have a particular you probably don't worry 42 00:02:13,400 --> 00:02:17,120 Speaker 1: about it because you know that I reckon two things 43 00:02:17,120 --> 00:02:18,960 Speaker 1: that we're going to get to the topic at hand. 44 00:02:19,280 --> 00:02:21,760 Speaker 1: But I reckon two things that a lot of people 45 00:02:21,800 --> 00:02:24,720 Speaker 1: don't think about because it doesn't affect them, but it 46 00:02:24,760 --> 00:02:27,560 Speaker 1: does affect a lot of people. One is a lot 47 00:02:27,600 --> 00:02:30,840 Speaker 1: of people don't sleep well, like I reckon maybe half 48 00:02:30,880 --> 00:02:34,640 Speaker 1: the population. And the other less glamorous one is that 49 00:02:34,680 --> 00:02:38,200 Speaker 1: a lot of people don't shit well. The amount of 50 00:02:38,240 --> 00:02:40,919 Speaker 1: people that are constipated that I've worked with over the 51 00:02:41,000 --> 00:02:44,560 Speaker 1: last forty years. TIF, do you do both of those well? 52 00:02:44,960 --> 00:02:47,519 Speaker 3: TIF? For you comfortable with him revealing these things about. 53 00:02:47,280 --> 00:02:50,600 Speaker 2: You, well, I notice that he's just gone straight to 54 00:02:50,680 --> 00:02:53,760 Speaker 2: eat it for a public report of my bow movements 55 00:02:55,080 --> 00:02:58,520 Speaker 2: quite regularly. Quite good sleep has always been a challenge woman, 56 00:02:58,560 --> 00:03:00,840 Speaker 2: But I'm really I've really got on top of that 57 00:03:01,040 --> 00:03:05,120 Speaker 2: over the recent times. What have you changed A strong 58 00:03:05,200 --> 00:03:07,640 Speaker 2: bedtime routine. I've got to be quite good with that. 59 00:03:08,360 --> 00:03:11,120 Speaker 2: I mean, just an early riser always. But if I 60 00:03:11,120 --> 00:03:16,200 Speaker 2: don't wind down well and have a routine and get 61 00:03:16,240 --> 00:03:18,240 Speaker 2: the I've got to be a nana. If if I'm 62 00:03:18,240 --> 00:03:22,120 Speaker 2: not winding down before ten, it is party time in 63 00:03:22,160 --> 00:03:26,200 Speaker 2: my brain until at least three am, wide awake. 64 00:03:26,840 --> 00:03:29,200 Speaker 1: Well, don't do caffeine and nicotine before bed. 65 00:03:29,280 --> 00:03:30,560 Speaker 2: Well, that's a hard note for me. 66 00:03:30,680 --> 00:03:31,119 Speaker 3: It's hard. 67 00:03:31,520 --> 00:03:32,919 Speaker 2: It's a lunch and I'm cut off there. 68 00:03:34,480 --> 00:03:35,400 Speaker 1: Yeah. 69 00:03:36,080 --> 00:03:41,600 Speaker 3: In general, avoid stimulants, I mean, nicotine and caffeine are 70 00:03:41,640 --> 00:03:45,920 Speaker 3: obvious ones, but the ones people don't realize they're taking 71 00:03:45,920 --> 00:03:51,120 Speaker 3: on the electronic ones. So you play computer games, you 72 00:03:51,160 --> 00:03:56,000 Speaker 3: get on social media, you do some online gambling, all 73 00:03:56,000 --> 00:03:57,080 Speaker 3: of those things. 74 00:03:58,640 --> 00:04:01,480 Speaker 2: In short and the online gambling. 75 00:04:01,960 --> 00:04:04,360 Speaker 3: Yeah, yeah, yeah, And I know you quite know what 76 00:04:04,400 --> 00:04:06,840 Speaker 3: we're talking about here, but you know, Craig might, you know, 77 00:04:07,000 --> 00:04:11,520 Speaker 3: don't do porn either, just just before you go to sleep. 78 00:04:12,240 --> 00:04:15,320 Speaker 3: It's all of these things give you a dopamine spike, 79 00:04:15,360 --> 00:04:17,360 Speaker 3: and it's going to make it really hard for your 80 00:04:17,360 --> 00:04:18,200 Speaker 3: brain to calm down. 81 00:04:20,200 --> 00:04:22,919 Speaker 1: Do you know what I see a lot of is 82 00:04:24,560 --> 00:04:28,440 Speaker 1: kids in the gym. Well, think about young Jamie at 83 00:04:28,440 --> 00:04:31,760 Speaker 1: the gym, tiff nearly every time you see her, the 84 00:04:31,800 --> 00:04:35,640 Speaker 1: Crabs kid. She walks into the gym every day with 85 00:04:35,720 --> 00:04:36,600 Speaker 1: a red bull. 86 00:04:36,680 --> 00:04:39,400 Speaker 2: I know, in the PM, in the PM. 87 00:04:39,520 --> 00:04:42,280 Speaker 1: Yeah, and she's not alone. And I'm not throwing her 88 00:04:42,360 --> 00:04:46,559 Speaker 1: under the bus because I would say seventy eighty percent 89 00:04:46,600 --> 00:04:49,599 Speaker 1: of the teenage kids that train in the gym they 90 00:04:49,720 --> 00:04:53,159 Speaker 1: have some kind of stimulant before they train or after 91 00:04:53,200 --> 00:04:56,440 Speaker 1: they train, or both very very and they have this 92 00:04:56,560 --> 00:04:58,280 Speaker 1: thing that you may or may not have heard of. 93 00:04:58,400 --> 00:05:02,280 Speaker 1: David called and I'm not being facetious. And there's a 94 00:05:02,320 --> 00:05:05,800 Speaker 1: whole different, bloody plethora of them. But they call them 95 00:05:05,839 --> 00:05:10,920 Speaker 1: pre workout drinks, and basically they're just stimulants, central nervous 96 00:05:10,960 --> 00:05:12,239 Speaker 1: system stimulants. 97 00:05:12,800 --> 00:05:15,679 Speaker 3: All right, So I can of coke, it's. 98 00:05:15,720 --> 00:05:19,680 Speaker 1: Yeah, but times four, so it might have instead of 99 00:05:19,720 --> 00:05:23,359 Speaker 1: forty grams of caffeine, or have one hundred and sixty 100 00:05:23,400 --> 00:05:28,080 Speaker 1: grams of caffeine. I mean, razy crazy amounts, but yeah, 101 00:05:28,120 --> 00:05:33,640 Speaker 1: these and then I reckon the biggest consumers of those 102 00:05:33,680 --> 00:05:37,599 Speaker 1: particular energy drinks are children. Well by that, I mean 103 00:05:38,200 --> 00:05:42,919 Speaker 1: people are under twenty, you know, anyone speaking of junk food. 104 00:05:45,520 --> 00:05:47,479 Speaker 1: By the way, everyone, if you don't follow the Great Man, 105 00:05:47,520 --> 00:05:51,560 Speaker 1: please go to LinkedIn. Follow him on LinkedIn. I follow him. 106 00:05:51,600 --> 00:05:53,600 Speaker 1: I look at all the shit he puts up. It's 107 00:05:53,680 --> 00:05:56,960 Speaker 1: all good, all the time. And I'm going to be honest. 108 00:05:57,120 --> 00:05:59,920 Speaker 1: He doesn't have many followers, So give him give him 109 00:06:00,120 --> 00:06:03,440 Speaker 1: shop out, will you. I mean, it's a little embarrassing 110 00:06:03,520 --> 00:06:06,080 Speaker 1: for how good he is. It's a bit underwhelming. So 111 00:06:06,279 --> 00:06:07,920 Speaker 1: go and follow him on that and give him a 112 00:06:07,960 --> 00:06:10,200 Speaker 1: little bit of love and say I'm here because Jumbo 113 00:06:10,279 --> 00:06:12,320 Speaker 1: told me to give you a little bit of love. Here, 114 00:06:12,400 --> 00:06:14,279 Speaker 1: I am hey. 115 00:06:14,600 --> 00:06:17,440 Speaker 3: Just before we get to the first article, we're going 116 00:06:17,480 --> 00:06:19,800 Speaker 3: to talk about coming back to the thing you said 117 00:06:19,839 --> 00:06:25,600 Speaker 3: before about bowel movements and sleep. The common thing between 118 00:06:25,640 --> 00:06:31,279 Speaker 3: those two is anxiety. So usually sleep disturbance is the 119 00:06:31,320 --> 00:06:35,159 Speaker 3: first sign. Often the studies are showing probably two to 120 00:06:35,240 --> 00:06:40,480 Speaker 3: three years prior to diagnosis, first sign of anxiety slash 121 00:06:40,480 --> 00:06:46,480 Speaker 3: depression is sleep disturbance. Bowel movements is similarly associated with anxiety. 122 00:06:46,640 --> 00:06:50,200 Speaker 3: So if you're seeing that, particularly in teenage children, so 123 00:06:50,880 --> 00:06:54,000 Speaker 3: difficulties will sleep. Now with teenage children, when you say 124 00:06:54,000 --> 00:06:57,680 Speaker 3: difficulties will sleep, it's not going to bit later, which 125 00:06:57,760 --> 00:07:00,160 Speaker 3: their brains make them do any way, by virtual being 126 00:07:00,200 --> 00:07:02,440 Speaker 3: a teenager, because there's a shift in the metabolic clock 127 00:07:03,480 --> 00:07:06,400 Speaker 3: by about two hours during teenage of them, so they 128 00:07:06,480 --> 00:07:08,719 Speaker 3: go to bed naturally two hours later than they did 129 00:07:08,720 --> 00:07:13,880 Speaker 3: win prior to puberty. But if they have trouble staying 130 00:07:13,920 --> 00:07:17,920 Speaker 3: asleep or getting to sleep sort of after eleven o'clock 131 00:07:17,920 --> 00:07:21,560 Speaker 3: at night, then it could be a sign of anxiety 132 00:07:21,560 --> 00:07:24,280 Speaker 3: and depression. This is important because of a story that 133 00:07:24,360 --> 00:07:27,360 Speaker 3: was out today in the papers. I haven't written a 134 00:07:27,360 --> 00:07:30,000 Speaker 3: piece about this one yet, Craig, but they found in 135 00:07:30,040 --> 00:07:34,880 Speaker 3: this study three quarters of Victorian teenagers have diagnosable have 136 00:07:35,080 --> 00:07:40,360 Speaker 3: had a diagnosable clinical anxiety or depression over the last 137 00:07:40,400 --> 00:07:45,400 Speaker 3: eight years. Now three quarters of a teenage population sets 138 00:07:45,400 --> 00:07:49,720 Speaker 3: a world record. There's no other study that shows that 139 00:07:50,000 --> 00:07:54,960 Speaker 3: level of anxiety and depression in teenagers in the world. 140 00:07:56,240 --> 00:07:59,560 Speaker 3: We are at the starting edge of a very, very 141 00:07:59,640 --> 00:08:02,800 Speaker 3: big and we can come back and talk about that 142 00:08:02,840 --> 00:08:05,280 Speaker 3: one in a little while. But I just thought i'd 143 00:08:05,360 --> 00:08:08,160 Speaker 3: raise that because it connects those two things that you 144 00:08:08,200 --> 00:08:08,880 Speaker 3: mentioned before. 145 00:08:09,880 --> 00:08:12,520 Speaker 1: All Right, we'll circle back. But I'm very I don't 146 00:08:12,560 --> 00:08:15,400 Speaker 1: know about that. I mean, I believe what you're saying, 147 00:08:15,400 --> 00:08:18,320 Speaker 1: and I believe what was written, but I don't like 148 00:08:18,400 --> 00:08:26,640 Speaker 1: that's the majority of children having diagnosable anxiety then anyway, eighty. 149 00:08:26,360 --> 00:08:29,160 Speaker 3: Four percent of females between the ages of ten and 150 00:08:29,200 --> 00:08:30,360 Speaker 3: eighteen in Victoria. 151 00:08:30,960 --> 00:08:34,640 Speaker 1: Does that mean they have consistent anxiety it's a condition, 152 00:08:35,400 --> 00:08:38,199 Speaker 1: or they're teenagers and every now and then they get 153 00:08:38,240 --> 00:08:39,880 Speaker 1: anxious because that everyone. 154 00:08:40,440 --> 00:08:43,200 Speaker 3: What they found was three distinct waves of its three 155 00:08:43,240 --> 00:08:47,880 Speaker 3: annual occurrences in that age group ten to eighteen year 156 00:08:47,920 --> 00:08:54,480 Speaker 3: olds that were met the criteria for clinical diagnosis. So 157 00:08:54,600 --> 00:08:59,800 Speaker 3: not just a bit worried, but clinical diagnosis of anxiety. Wow. 158 00:09:00,760 --> 00:09:02,840 Speaker 1: Yeah, I don't know what the solution is to that. 159 00:09:02,960 --> 00:09:06,680 Speaker 3: Obviously there is a solution, take all the devices away. 160 00:09:06,800 --> 00:09:12,200 Speaker 3: That's easy. Do you reckon It's only that I think 161 00:09:12,360 --> 00:09:14,800 Speaker 3: that's the majority of it. I mean, there's some other 162 00:09:14,840 --> 00:09:16,840 Speaker 3: things laid in on that, because the other thing that 163 00:09:16,960 --> 00:09:21,000 Speaker 3: causes the same response in the brain is not just addiction. 164 00:09:21,120 --> 00:09:27,520 Speaker 3: Remember there's also uncertainty. Well, uncertainty magnifies both addiction and danger. 165 00:09:27,920 --> 00:09:30,200 Speaker 3: But there's danger, and danger can be in the form 166 00:09:30,559 --> 00:09:34,880 Speaker 3: of addictive things, so like gambling apps that simulate danger, 167 00:09:35,080 --> 00:09:39,000 Speaker 3: or gaming apps that simulate danger, or it can be 168 00:09:39,120 --> 00:09:42,600 Speaker 3: in the form of chronic stress, like a family that 169 00:09:42,920 --> 00:09:44,720 Speaker 3: isn't sure whether there's going to be enough money to 170 00:09:44,720 --> 00:09:48,520 Speaker 3: pay the rent every week, or the COVID nineteen shut 171 00:09:48,559 --> 00:09:53,920 Speaker 3: down and lockdown things created enormous amounts of chronic stress. 172 00:09:54,880 --> 00:09:58,120 Speaker 3: But that research tried to adjust for COVID in these 173 00:09:58,200 --> 00:10:00,720 Speaker 3: numbers and found that it couldn't be a tribut to COVID. 174 00:10:01,080 --> 00:10:04,160 Speaker 3: So whilst it may well have had a contributory effect, 175 00:10:04,200 --> 00:10:07,600 Speaker 3: and all of those lockdown things could have contributed to it, 176 00:10:08,280 --> 00:10:12,520 Speaker 3: they said it was there before that happened, So that 177 00:10:12,679 --> 00:10:15,400 Speaker 3: tells you it's something much much earlier that's been going 178 00:10:15,440 --> 00:10:20,240 Speaker 3: on noting that we've only had really access to social media, 179 00:10:20,280 --> 00:10:25,920 Speaker 3: online gambling, online gaming, and ready access to pornography probably 180 00:10:25,960 --> 00:10:29,959 Speaker 3: only the last fourteen years to teenagers. So it's those 181 00:10:30,080 --> 00:10:32,600 Speaker 3: kids that we're starting to see the results from. 182 00:10:34,080 --> 00:10:38,040 Speaker 1: Just we'll come back straight away. But I remember about 183 00:10:38,559 --> 00:10:41,000 Speaker 1: three months ago or four months ago, you were talking 184 00:10:41,000 --> 00:10:43,920 Speaker 1: about this TV show called Friday Night Lights and how 185 00:10:43,960 --> 00:10:47,160 Speaker 1: the first season was two thousand and eight, and I 186 00:10:47,160 --> 00:10:50,480 Speaker 1: think the last season, which is season five, was two 187 00:10:50,520 --> 00:10:54,400 Speaker 1: thousand and twelve or thirteen something like that. It's five seasons, 188 00:10:54,520 --> 00:10:58,679 Speaker 1: and then in between season one and season five was 189 00:10:58,720 --> 00:11:04,080 Speaker 1: the advent of smart. But I'm both happy with you 190 00:11:04,160 --> 00:11:08,040 Speaker 1: and mad at you because I've watched all five seasons now. 191 00:11:09,520 --> 00:11:10,520 Speaker 3: And you enjoy it. 192 00:11:10,960 --> 00:11:14,920 Speaker 1: I did it. It's just like this simple little like 193 00:11:15,440 --> 00:11:19,120 Speaker 1: it's it's about football everyone, but it's not. It's about 194 00:11:19,320 --> 00:11:23,040 Speaker 1: this town and this coach and this family and the players, 195 00:11:23,080 --> 00:11:28,920 Speaker 1: and it's very much like a sociological exploration of relationships 196 00:11:29,000 --> 00:11:32,839 Speaker 1: and connection and adversity. And but I liked it because 197 00:11:32,840 --> 00:11:40,320 Speaker 1: it's not I don't like watching things that are scary, 198 00:11:40,640 --> 00:11:44,000 Speaker 1: like like I don't mind a bit of like action 199 00:11:44,480 --> 00:11:48,680 Speaker 1: and like war movies or that stuff that's like horror 200 00:11:48,960 --> 00:11:51,920 Speaker 1: and stuff that you know, puts my blood pressure through 201 00:11:51,960 --> 00:11:54,520 Speaker 1: the roof and then I can't fucking sleep. I like 202 00:11:54,640 --> 00:11:56,800 Speaker 1: watching things that are nice to watch. 203 00:11:57,360 --> 00:11:59,240 Speaker 3: But the thing about this show, I mean, it's not 204 00:11:59,320 --> 00:12:01,720 Speaker 3: Gilmore Girls, right, so it's not that nice to watch. 205 00:12:02,679 --> 00:12:06,200 Speaker 3: Is what they tend to do in that show, and 206 00:12:06,280 --> 00:12:10,560 Speaker 3: I think they do it really, really well, is those teenagers. 207 00:12:10,640 --> 00:12:12,720 Speaker 3: And it's about kids who are you know, sort of 208 00:12:12,840 --> 00:12:17,960 Speaker 3: grade twelve age in high school. Those teenagers do just 209 00:12:18,000 --> 00:12:21,839 Speaker 3: about everything wrong, like they you know, one of them 210 00:12:21,840 --> 00:12:26,720 Speaker 3: gets pregnant, they're experimenting with drugs, they're driving illegally, they're 211 00:12:26,760 --> 00:12:30,560 Speaker 3: stealing alcohol, even someone a little more criminal than that. 212 00:12:30,920 --> 00:12:34,560 Speaker 3: And what's great about it is that it shows you 213 00:12:34,640 --> 00:12:38,960 Speaker 3: the things that were dangerous before kids had phones and 214 00:12:39,040 --> 00:12:44,319 Speaker 3: didn't need to bother All of those all of those 215 00:12:44,360 --> 00:12:49,280 Speaker 3: things now have about halved or less in incidents since 216 00:12:49,320 --> 00:12:53,920 Speaker 3: the advent of smartphones. So risk taking, real world risk taking, 217 00:12:54,200 --> 00:12:58,079 Speaker 3: has half. There's much less team pregnancy, much less public drunkenness, 218 00:12:58,480 --> 00:13:02,400 Speaker 3: much less dangerous activity, much less law breaking. But the 219 00:13:02,480 --> 00:13:04,719 Speaker 3: reason is because the kids are all in their bedrooms 220 00:13:04,720 --> 00:13:08,600 Speaker 3: addicted to their devices, and the damage there is much 221 00:13:08,640 --> 00:13:12,920 Speaker 3: more severe because now it's not a few adventurous kids 222 00:13:12,920 --> 00:13:15,520 Speaker 3: who do that, and in that show, there's a couple 223 00:13:15,880 --> 00:13:18,000 Speaker 3: or two or three that are always doing the wrong 224 00:13:18,040 --> 00:13:21,520 Speaker 3: thing and everyone else is pretty much okay. Now it's 225 00:13:21,679 --> 00:13:27,920 Speaker 3: everybody all the time using addictive devices. And what we're 226 00:13:27,960 --> 00:13:30,679 Speaker 3: seeing is that fly through because if people say, oh, well, 227 00:13:30,760 --> 00:13:33,040 Speaker 3: so what keep them busy? Shuts them up. That's what 228 00:13:33,080 --> 00:13:38,959 Speaker 3: you want from teenagers, except when it results in seventy 229 00:13:39,000 --> 00:13:42,160 Speaker 3: five percent of them having diagnosable anxiety. 230 00:13:42,800 --> 00:13:46,120 Speaker 1: Yeah. But like when I said to you, what's the solution, 231 00:13:46,240 --> 00:13:49,200 Speaker 1: you said, get rid of the devices, which theoretically, but 232 00:13:49,280 --> 00:13:51,960 Speaker 1: we know that's not going to happen. So what's the 233 00:13:52,000 --> 00:13:53,080 Speaker 1: solu Well. 234 00:13:52,920 --> 00:13:55,200 Speaker 3: The solution is call them out for what they are. 235 00:13:56,080 --> 00:14:00,000 Speaker 3: Name them so it's not the device, it's two or three, 236 00:14:00,000 --> 00:14:05,280 Speaker 3: three or four apps explicitly designed to addict humans that 237 00:14:05,320 --> 00:14:12,160 Speaker 3: are on those devices. Call them out, name them, ban them. 238 00:14:12,200 --> 00:14:14,840 Speaker 1: Well, I wonder if that's going to happen. And of course, 239 00:14:15,160 --> 00:14:19,120 Speaker 1: Victoria was I think the first state in the world 240 00:14:19,960 --> 00:14:26,600 Speaker 1: or to ban social media for kids under sixteen, and 241 00:14:26,640 --> 00:14:30,120 Speaker 1: that made kind of global headlines. So I don't know. 242 00:14:30,680 --> 00:14:34,280 Speaker 3: But the thing about that is people always say, ah, 243 00:14:34,480 --> 00:14:36,560 Speaker 3: that's not going to work that, you know they you know, 244 00:14:36,640 --> 00:14:38,320 Speaker 3: you've ever seen kids who want to get to something, 245 00:14:38,400 --> 00:14:41,040 Speaker 3: They'll get they'll find a way, and they will. But 246 00:14:42,040 --> 00:14:46,560 Speaker 3: that law makes the conversation at the breakfast table a 247 00:14:46,640 --> 00:14:49,640 Speaker 3: hell of a lot easier for a parent if they can 248 00:14:49,680 --> 00:14:53,520 Speaker 3: say no, you're not doing it because it's against the law, yes, 249 00:14:53,720 --> 00:14:56,120 Speaker 3: rather than all day arguing about it. 250 00:14:56,600 --> 00:15:03,000 Speaker 1: Yeah yeah, yeah, yeah, yeah. All right, speaking of things 251 00:15:03,000 --> 00:15:06,800 Speaker 1: that are not good for us, So you wrote or 252 00:15:06,840 --> 00:15:13,200 Speaker 1: you posted an article about ultra processed foods and foods 253 00:15:13,240 --> 00:15:17,240 Speaker 1: that are high in seed oils and the potential relationship 254 00:15:17,280 --> 00:15:18,680 Speaker 1: with colon cancer. 255 00:15:19,400 --> 00:15:21,880 Speaker 3: Yeah. So I don't like the term ultraprocessed foods. That's 256 00:15:21,880 --> 00:15:25,160 Speaker 3: the term the article used. I don't like it because 257 00:15:25,360 --> 00:15:28,120 Speaker 3: just about everything we eat fits the definition of ultra 258 00:15:28,160 --> 00:15:31,480 Speaker 3: processed food. I mean, if you didn't pick the apple yourself, 259 00:15:31,560 --> 00:15:34,960 Speaker 3: or you chop up the cow yourself, then it's probably 260 00:15:35,040 --> 00:15:40,560 Speaker 3: pretty ultra processed. So the but the point about this 261 00:15:40,600 --> 00:15:43,400 Speaker 3: study and the reason I posted it is for a 262 00:15:43,440 --> 00:15:45,440 Speaker 3: long time I've been banging on. I wrote a book 263 00:15:45,440 --> 00:15:48,160 Speaker 3: about this in I don't know twenty fourteen, called Toxic 264 00:15:48,160 --> 00:15:50,960 Speaker 3: Oils and There was a follow up a few years later, 265 00:15:51,360 --> 00:15:53,120 Speaker 3: and I've written a few other books about it too. 266 00:15:53,440 --> 00:15:58,680 Speaker 3: But the evidence has always been a little bit inferential 267 00:15:58,720 --> 00:16:01,640 Speaker 3: in the sense that it suggests that there's a problem, 268 00:16:01,720 --> 00:16:04,720 Speaker 3: it suggests there's a link to cancer, it suggests this 269 00:16:04,800 --> 00:16:07,760 Speaker 3: is probably not a good idea, but there hasn't been 270 00:16:08,240 --> 00:16:12,720 Speaker 3: loads of high quality studies linking these things. Now I've 271 00:16:12,760 --> 00:16:15,000 Speaker 3: made the linkages in my books and said there's enough 272 00:16:15,000 --> 00:16:17,800 Speaker 3: evidence there for us to call this one okay. On 273 00:16:17,840 --> 00:16:21,520 Speaker 3: the precautionary principle, we should be really really careful about 274 00:16:21,520 --> 00:16:24,280 Speaker 3: putting this stuff in our food supply, particularly in the 275 00:16:24,360 --> 00:16:26,960 Speaker 3: kinds of quantities we are. So what are we talking about. 276 00:16:26,960 --> 00:16:31,120 Speaker 3: We're talking about everything that you know. They're commonly called 277 00:16:31,160 --> 00:16:33,400 Speaker 3: seed oils. A lot of your listeners might know them 278 00:16:33,440 --> 00:16:35,960 Speaker 3: as vegetable oils because that's how they're labeled on the packs. 279 00:16:36,720 --> 00:16:42,640 Speaker 3: So this is canola, sunflower oil, soybean oil, cottonseed oil, 280 00:16:42,720 --> 00:16:46,560 Speaker 3: grape seed oil, rice brand oil, all those sorts of things. 281 00:16:47,080 --> 00:16:49,840 Speaker 3: They're very, very high in something called a mega six fats. 282 00:16:50,880 --> 00:16:54,280 Speaker 3: And I've said for a while and many other people 283 00:16:54,320 --> 00:16:57,680 Speaker 3: have too, our bodies aren't built for that level of 284 00:16:57,720 --> 00:17:01,480 Speaker 3: amiga six fats. Omega six is are the pro inflammatory fats, 285 00:17:01,560 --> 00:17:04,639 Speaker 3: so amiga three people often know amiga three fish oils 286 00:17:04,640 --> 00:17:07,280 Speaker 3: and so on as being anti inflammatory. Well, the anti 287 00:17:07,320 --> 00:17:10,440 Speaker 3: inflammatory that the omiga three is fighting is the information 288 00:17:10,560 --> 00:17:14,520 Speaker 3: caused by the amega six. So we have a lot 289 00:17:14,520 --> 00:17:17,240 Speaker 3: of these in our diet now. All the fast food restaurants, 290 00:17:17,280 --> 00:17:19,600 Speaker 3: I mean McDonald's in Australia switched in two thousand and 291 00:17:19,640 --> 00:17:22,679 Speaker 3: four from animal fat to these things. I think they 292 00:17:22,760 --> 00:17:25,720 Speaker 3: use canola. All the rest of them followed, and the 293 00:17:25,800 --> 00:17:28,560 Speaker 3: last I think to fall was KFC in twenty twelve 294 00:17:29,160 --> 00:17:33,440 Speaker 3: when they switched over to canola from their palm oil 295 00:17:33,480 --> 00:17:35,359 Speaker 3: I think is what they were using, which is fine. 296 00:17:36,080 --> 00:17:40,680 Speaker 3: So it's now everywhere anything fried in anything is fried 297 00:17:40,720 --> 00:17:43,159 Speaker 3: in these oils. If you look at the fat on 298 00:17:43,200 --> 00:17:45,600 Speaker 3: the label of any food on a supermarket shelf, it's 299 00:17:45,640 --> 00:17:47,479 Speaker 3: going to be one of these oils, often just ascribed 300 00:17:47,520 --> 00:17:49,480 Speaker 3: as vegetable oil. They don't tell exactly what it is. 301 00:17:49,520 --> 00:17:53,359 Speaker 3: But it is now getting to the point. I know 302 00:17:53,400 --> 00:17:55,639 Speaker 3: you're desperate for me to eventually find a point in 303 00:17:55,680 --> 00:18:00,199 Speaker 3: all of this. This study is the interesting thing. It. 304 00:18:01,280 --> 00:18:05,200 Speaker 3: This study nails it. What they did was they analyzed 305 00:18:05,760 --> 00:18:10,600 Speaker 3: colon cancer, so they analyzed the tunas the tuners, no 306 00:18:11,040 --> 00:18:16,639 Speaker 3: fish were involved. They analyzed the tumors of sufferers of 307 00:18:16,680 --> 00:18:21,560 Speaker 3: colon cancer and they found excessive quantities of Amiga six fats, 308 00:18:22,440 --> 00:18:25,960 Speaker 3: and they also found a mechanism to explain it. They 309 00:18:26,000 --> 00:18:29,919 Speaker 3: found that the Omega six fats encouraged the tumor growth 310 00:18:30,359 --> 00:18:36,200 Speaker 3: and suppressed the anti anti tumor activity that the body 311 00:18:36,480 --> 00:18:37,160 Speaker 3: naturally had. 312 00:18:37,800 --> 00:18:41,520 Speaker 1: Okay, hit the brakes, just say that, I know what 313 00:18:41,560 --> 00:18:44,159 Speaker 1: you said, but just say that last bit again. What 314 00:18:44,200 --> 00:18:44,920 Speaker 1: did they find? 315 00:18:45,440 --> 00:18:50,320 Speaker 3: They found that the Amiga six fats in these tumors 316 00:18:51,119 --> 00:18:56,440 Speaker 3: encouraged the tumor growth and suppressed the body's natural defenses 317 00:18:56,440 --> 00:19:02,000 Speaker 3: against it back. And the reason this is important is 318 00:19:02,040 --> 00:19:07,280 Speaker 3: if you look at the statistics on colorectal cancer or 319 00:19:07,359 --> 00:19:10,359 Speaker 3: call on cancer, whatever you want to call it, colorectal 320 00:19:10,440 --> 00:19:14,720 Speaker 3: cancer in the United States and in Australia, it's now 321 00:19:14,800 --> 00:19:21,160 Speaker 3: the second biggest killer, second biggest killer behind lung cancer, 322 00:19:21,160 --> 00:19:22,720 Speaker 3: by the way, which we can talk about another day, 323 00:19:23,400 --> 00:19:25,960 Speaker 3: which is an interesting one all on its own because 324 00:19:26,000 --> 00:19:28,480 Speaker 3: nobody smokes anymore. But we'll come back to that one. 325 00:19:28,800 --> 00:19:32,280 Speaker 3: But this is now the second biggest killer, and if 326 00:19:32,320 --> 00:19:36,560 Speaker 3: you look at people under the age of fifty, it 327 00:19:36,760 --> 00:19:42,560 Speaker 3: is growing exponentially and there is no explanation for this 328 00:19:42,960 --> 00:19:45,399 Speaker 3: from the scientific consensus. So if you look at the 329 00:19:45,440 --> 00:19:49,760 Speaker 3: Australian statistics and look at people under forty in Australia 330 00:19:50,440 --> 00:19:53,879 Speaker 3: in nineteen eighty two, there are eleven point seven people 331 00:19:53,880 --> 00:19:57,320 Speaker 3: per one hundred thousand. Now sorry, there were three point 332 00:19:57,359 --> 00:19:59,520 Speaker 3: seven people one hundred thousand. Now there are eleven point 333 00:19:59,600 --> 00:20:04,440 Speaker 3: seven p hundred thousand. So it is tripled in that 334 00:20:04,480 --> 00:20:09,080 Speaker 3: period of time. Now, for anything to triple, I mean 335 00:20:09,119 --> 00:20:12,159 Speaker 3: we want it going backwards. I mean got flat to 336 00:20:12,200 --> 00:20:15,520 Speaker 3: backwards is what we're aiming for here. With cancer tripled 337 00:20:16,520 --> 00:20:23,639 Speaker 3: in people under forty is terrible, absolutely terrible, and that 338 00:20:23,760 --> 00:20:26,959 Speaker 3: the scientific community has no explanation for that is even worse. 339 00:20:28,440 --> 00:20:32,400 Speaker 3: These guys have found an explanation. It's an explanation that's 340 00:20:32,440 --> 00:20:34,960 Speaker 3: been there for a while in books like the ones 341 00:20:35,000 --> 00:20:37,800 Speaker 3: I wrote, and other people are speculated about it and said, 342 00:20:38,119 --> 00:20:41,680 Speaker 3: hang on, why are cancers that are anywhere along the 343 00:20:41,760 --> 00:20:48,359 Speaker 3: digestive tracked going bananas in younger people Because it's not 344 00:20:48,440 --> 00:20:50,880 Speaker 3: just colorect or this thyroid cancer et cetera et cetera, 345 00:20:51,640 --> 00:20:56,160 Speaker 3: and I have connected dots and others have to and said, 346 00:20:56,720 --> 00:21:00,159 Speaker 3: it's the Amiga six fats. We've introduced massive count it 347 00:21:00,200 --> 00:21:03,879 Speaker 3: is of them into our diet. They are pro cancer elements. 348 00:21:04,520 --> 00:21:07,760 Speaker 3: That's what's causing this. This study puts a pin in 349 00:21:07,800 --> 00:21:12,520 Speaker 3: it and says, actually we think it might all right, 350 00:21:12,800 --> 00:21:13,480 Speaker 3: I just want to. 351 00:21:13,520 --> 00:21:16,600 Speaker 1: Okay, great, So now some people are listening to this 352 00:21:17,240 --> 00:21:19,760 Speaker 1: and they're a bit terrified, which is not the worst thing. 353 00:21:20,760 --> 00:21:24,359 Speaker 1: So just while we're in this moment of improved awareness 354 00:21:24,600 --> 00:21:28,959 Speaker 1: around this, and again, remember everyone, this is just people talking. 355 00:21:29,000 --> 00:21:33,040 Speaker 1: This is not a prescription. But just tell people. I 356 00:21:33,119 --> 00:21:35,199 Speaker 1: know we've done it a few times, but there'll be 357 00:21:35,280 --> 00:21:37,560 Speaker 1: people who've never heard of you and this will be 358 00:21:37,600 --> 00:21:41,240 Speaker 1: their first time with you. And there'll be people who 359 00:21:41,280 --> 00:21:46,080 Speaker 1: have heard this list before, but forget it. So what 360 00:21:46,240 --> 00:21:49,760 Speaker 1: is on the acceptable, what's on the David Gillespie yes 361 00:21:49,920 --> 00:21:53,320 Speaker 1: list in terms of oils, and what's on the no list? 362 00:21:53,560 --> 00:21:56,960 Speaker 3: Okay, So what we're aiming for here is you need 363 00:21:57,000 --> 00:21:59,560 Speaker 3: fat in your diet. No fat, no diet, right, so 364 00:21:59,640 --> 00:22:02,119 Speaker 3: you need adding your diet. But what you want to 365 00:22:02,119 --> 00:22:05,480 Speaker 3: aim for is fats that are very very low in 366 00:22:05,520 --> 00:22:09,520 Speaker 3: these Amiga six fats. So now they come from one place, 367 00:22:09,560 --> 00:22:13,960 Speaker 3: which is plants. In the modern industrial diet, they come 368 00:22:14,000 --> 00:22:17,679 Speaker 3: from things labeled as vegetable oils. No vegetables were harmed 369 00:22:17,680 --> 00:22:21,960 Speaker 3: in their construction. They actually come from seeds. So the 370 00:22:22,000 --> 00:22:25,160 Speaker 3: things you want to avoid are fats that come from seeds. 371 00:22:25,400 --> 00:22:33,879 Speaker 3: So we're talking about canola, sunflower, grape seed, rice brand, 372 00:22:35,200 --> 00:22:38,120 Speaker 3: a lot of the nuts based ones like almonds and 373 00:22:38,160 --> 00:22:41,160 Speaker 3: so on. Those are things that you've got to avoid 374 00:22:41,200 --> 00:22:43,719 Speaker 3: because they in general tend to be high in Amiga 375 00:22:43,760 --> 00:22:44,560 Speaker 3: six fats. 376 00:22:44,920 --> 00:22:49,040 Speaker 1: What about whole almonds versus just because somebody on the 377 00:22:49,080 --> 00:22:50,800 Speaker 1: call eats almonds every day. 378 00:22:51,800 --> 00:22:54,280 Speaker 3: Whole almonds are okay. You've just got to be careful 379 00:22:54,320 --> 00:22:57,359 Speaker 3: how many you eat. And I published a table in 380 00:22:57,400 --> 00:23:00,240 Speaker 3: one of my books that actually calculated how many could 381 00:23:00,280 --> 00:23:03,359 Speaker 3: eat and not exceed the allowance of a Mega six fats. 382 00:23:03,640 --> 00:23:05,159 Speaker 3: I'll shoot it through you after the show and you 383 00:23:05,200 --> 00:23:08,399 Speaker 3: can put it up if you want, but it's I 384 00:23:08,400 --> 00:23:12,560 Speaker 3: can't remember what the number was for almonds, but all 385 00:23:12,600 --> 00:23:14,800 Speaker 3: of them were sort of reasonable numbers. You could eat 386 00:23:14,880 --> 00:23:16,959 Speaker 3: reasonable numbers as long as you know they weren't the 387 00:23:17,000 --> 00:23:20,680 Speaker 3: primary constituent of your meal. Every day, then you're probably 388 00:23:20,680 --> 00:23:23,159 Speaker 3: okay because you're eating a lot of other stuff besides 389 00:23:23,200 --> 00:23:26,919 Speaker 3: the fat. When you're chomping through whole arments, when you 390 00:23:27,000 --> 00:23:28,679 Speaker 3: grind them, when you grind them up and use them 391 00:23:28,720 --> 00:23:31,200 Speaker 3: as flour and everything you cork, or when you turn 392 00:23:31,240 --> 00:23:34,160 Speaker 3: them into a paste and spread them in on everything, 393 00:23:34,520 --> 00:23:40,280 Speaker 3: then that's a different thing altogether. So I'll send you that, but. 394 00:23:42,320 --> 00:23:45,120 Speaker 1: Just quick, sorry, just quickly, because I try to think, 395 00:23:45,240 --> 00:23:46,960 Speaker 1: if I'm a listener, what do I want to ask? 396 00:23:47,440 --> 00:23:52,639 Speaker 1: So I'm guessing regular peanut butter, I mean regular peanut 397 00:23:52,720 --> 00:23:56,320 Speaker 1: butter off the shelf at Safeway and more worse, doesn't 398 00:23:56,400 --> 00:23:56,960 Speaker 1: get the tick. 399 00:23:57,920 --> 00:24:00,919 Speaker 3: It depends a lot on the brand, is what I found. 400 00:24:01,040 --> 00:24:03,280 Speaker 3: Like when you actually do the analysis of the data 401 00:24:03,320 --> 00:24:05,639 Speaker 3: they are forced to put on the label, and I 402 00:24:05,720 --> 00:24:09,040 Speaker 3: have done that, it really depends a lot on the brand. 403 00:24:09,640 --> 00:24:14,560 Speaker 3: So some brands are okay, others are not. And it's 404 00:24:14,560 --> 00:24:18,080 Speaker 3: because many of them don't use actual peanuts. 405 00:24:18,119 --> 00:24:18,960 Speaker 1: They use. 406 00:24:20,520 --> 00:24:22,359 Speaker 3: I don't know what the term they use for it is, 407 00:24:22,400 --> 00:24:26,320 Speaker 3: but basically deconstituted peanut powder and then they reconstitute it 408 00:24:26,320 --> 00:24:31,440 Speaker 3: with other fats. So if you careful, if you have 409 00:24:31,520 --> 00:24:33,199 Speaker 3: a look at the label, and it just says the 410 00:24:33,320 --> 00:24:37,320 Speaker 3: ingredients are peanuts. You're probably good, but have a close 411 00:24:37,359 --> 00:24:39,640 Speaker 3: look at the label. Don't make assumptions about what these 412 00:24:39,680 --> 00:24:41,760 Speaker 3: things are made out of. Just because I said peanuts 413 00:24:41,800 --> 00:24:44,240 Speaker 3: on the front doesn't mean that's what it's made of. 414 00:24:45,200 --> 00:24:52,120 Speaker 3: So yeah, look, be careful with peanuts their borderline. Things 415 00:24:52,119 --> 00:24:53,160 Speaker 3: that aren't borderline. 416 00:24:54,160 --> 00:24:57,120 Speaker 1: Tell us what okay on the to do that on 417 00:24:57,160 --> 00:25:00,879 Speaker 1: the the okay list. So we know, butter, I think lard, 418 00:25:01,240 --> 00:25:01,960 Speaker 1: I think. 419 00:25:02,119 --> 00:25:05,000 Speaker 3: Anything from an animal. So all animal fats are fine. 420 00:25:05,080 --> 00:25:10,440 Speaker 3: So but lard, tallow rendered, beef, rendered, you know, any 421 00:25:10,480 --> 00:25:11,840 Speaker 3: All animal fats are fine. 422 00:25:12,400 --> 00:25:14,800 Speaker 1: What about the what about the crackling that I'm going 423 00:25:14,880 --> 00:25:18,920 Speaker 1: to eat off the pig at chrissy. 424 00:25:17,960 --> 00:25:21,720 Speaker 3: Yeah, look it's it's it's okay. Pig fat is a 425 00:25:21,720 --> 00:25:23,800 Speaker 3: bit of a problem in Australia because I think it's 426 00:25:23,840 --> 00:25:30,080 Speaker 3: around ninety percent of our peaks are raised in you know, 427 00:25:30,160 --> 00:25:34,680 Speaker 3: industrial form, not on they're not free range, and and 428 00:25:35,320 --> 00:25:38,200 Speaker 3: those ones are fed a lot of grain, and because 429 00:25:38,240 --> 00:25:42,120 Speaker 3: they're omnivores, that grain contains a lot of Amiga six 430 00:25:42,119 --> 00:25:44,000 Speaker 3: and it ends up in their fat as a Mega 431 00:25:44,000 --> 00:25:48,480 Speaker 3: six fat. So so this is the only point where 432 00:25:48,480 --> 00:25:51,040 Speaker 3: I agree with standard Heart Foundation advice, which is, if 433 00:25:51,040 --> 00:25:54,040 Speaker 3: you're going to eat pig like in bacon or pork 434 00:25:54,080 --> 00:25:57,840 Speaker 3: of any description, trimmer take the fat off because that fat, 435 00:25:58,200 --> 00:26:01,000 Speaker 3: if it's you know, if it's far if it's not 436 00:26:01,160 --> 00:26:04,280 Speaker 3: free range, that fat probably contains a large amount of 437 00:26:04,280 --> 00:26:08,520 Speaker 3: a Mega six fat. And in Australia, if it doesn't 438 00:26:08,560 --> 00:26:12,840 Speaker 3: explicitly say it's free range, it's not, because most pork 439 00:26:12,880 --> 00:26:16,680 Speaker 3: in Australia is not free range. Pigs, by the way, 440 00:26:17,040 --> 00:26:21,679 Speaker 3: if left to their own devices, don't eat grain. They 441 00:26:21,800 --> 00:26:23,440 Speaker 3: roam around, they eat a lot of things, but they 442 00:26:23,480 --> 00:26:26,760 Speaker 3: don't go and choose to eat grain. But far you know, 443 00:26:26,880 --> 00:26:29,680 Speaker 3: the battery pigs or whatever they're called, they're given a 444 00:26:29,720 --> 00:26:35,240 Speaker 3: lot of grain. So to be avoided eat still eat 445 00:26:35,240 --> 00:26:37,560 Speaker 3: the pork, chop the fat off, and if you're going 446 00:26:37,640 --> 00:26:39,680 Speaker 3: to eat crackling, do it once a year. I would 447 00:26:39,720 --> 00:26:44,560 Speaker 3: have thought is probably reasonable advice. But coming back, so, 448 00:26:44,600 --> 00:26:47,560 Speaker 3: animal fats in general though, are pretty good any kind 449 00:26:47,600 --> 00:26:49,639 Speaker 3: of beef milk, but anything from a cow is going 450 00:26:49,680 --> 00:26:52,720 Speaker 3: to be good because ruminants like cows and goats and 451 00:26:53,359 --> 00:26:56,080 Speaker 3: sheep actually don't store a mega six fats in any 452 00:26:56,080 --> 00:26:58,200 Speaker 3: serious quantity. So you don't even have to worry about 453 00:26:58,200 --> 00:27:02,000 Speaker 3: the fat on those animals. No matter how much people 454 00:27:02,040 --> 00:27:04,240 Speaker 3: might tell you you've got to have you know, fast 455 00:27:04,480 --> 00:27:06,359 Speaker 3: raised or you know, all that sort of nonsense, it 456 00:27:06,400 --> 00:27:10,520 Speaker 3: doesn't really matter with ruminants. Now, if we talk about 457 00:27:10,520 --> 00:27:12,960 Speaker 3: people say, oh, yeah, great, but I'm a vegan or 458 00:27:13,000 --> 00:27:15,119 Speaker 3: a vegetarian and I don't I can't eat all that stuff. 459 00:27:15,160 --> 00:27:18,879 Speaker 3: What can I eat? The answer is there are some 460 00:27:19,560 --> 00:27:22,080 Speaker 3: that feed into there. So there's a couple of fats 461 00:27:22,119 --> 00:27:26,159 Speaker 3: that mimic the fat profile of animal fat, So palm oil, 462 00:27:26,640 --> 00:27:32,680 Speaker 3: coconut oil, and they're they're they're fine. They actually look 463 00:27:32,880 --> 00:27:34,480 Speaker 3: when you're doing an analysis of them, they have rough for 464 00:27:34,520 --> 00:27:37,960 Speaker 3: the same analysis as animal fat. No concern with those. 465 00:27:38,320 --> 00:27:40,680 Speaker 3: There's an in between category which I call fruit oils, 466 00:27:40,680 --> 00:27:42,840 Speaker 3: which are also I would say fine as long as 467 00:27:42,880 --> 00:27:45,280 Speaker 3: you're not eating vast quantities of them. So these are 468 00:27:45,320 --> 00:27:49,159 Speaker 3: fruit oil. So this is olive oil, for example, is 469 00:27:49,160 --> 00:27:53,359 Speaker 3: a fruit oil. Avocado oil is another fruit oil. And 470 00:27:53,440 --> 00:27:56,840 Speaker 3: there's one nut oil which is absolutely fine for some reason, 471 00:27:57,960 --> 00:28:01,840 Speaker 3: macadamia nut oil, which WHI has a fat profile very 472 00:28:01,920 --> 00:28:03,520 Speaker 3: very similar to animal fat. 473 00:28:04,200 --> 00:28:07,159 Speaker 1: Now, Tiff, I'm guessing from the screwed up look on 474 00:28:07,240 --> 00:28:09,520 Speaker 1: your face. There's not going to be a lot of 475 00:28:09,560 --> 00:28:12,639 Speaker 1: pork crackling going down your gob over the next week. 476 00:28:13,440 --> 00:28:16,040 Speaker 2: Definitely not. And I feel sad for the little peace. 477 00:28:17,359 --> 00:28:19,800 Speaker 2: It made me feel sad thinking of the poor little bit. 478 00:28:20,240 --> 00:28:22,960 Speaker 1: It's just that is It is sad. That is the 479 00:28:24,240 --> 00:28:27,320 Speaker 1: That is how a lot of farming works there is. 480 00:28:27,480 --> 00:28:30,320 Speaker 1: It is not a I don't want to be a downer, 481 00:28:30,359 --> 00:28:36,520 Speaker 1: but yeah, it's not a great existence. What okay, you 482 00:28:36,560 --> 00:28:39,240 Speaker 1: know what's interesting, David? I mean, all of this is fascinating, 483 00:28:39,280 --> 00:28:44,000 Speaker 1: but like it's literally it's literally been flipped. Like we 484 00:28:44,200 --> 00:28:47,920 Speaker 1: the last twenty years, we've been told, you know, time 485 00:28:47,960 --> 00:28:51,880 Speaker 1: and time and time again, no animal fats, like avoid 486 00:28:52,040 --> 00:28:55,720 Speaker 1: animal fats like that. It's like that's what's going to 487 00:28:55,840 --> 00:28:59,320 Speaker 1: kill you, animal fats, And you're going, no, fuck that. 488 00:28:59,760 --> 00:29:01,960 Speaker 1: There're the ones that are going to say, like, it's 489 00:29:02,240 --> 00:29:06,720 Speaker 1: not only is it have we been misinformed? We've been 490 00:29:07,600 --> 00:29:10,520 Speaker 1: you know, if you're accurate and these people are accurate, 491 00:29:10,560 --> 00:29:13,200 Speaker 1: which I believe you are and they are, is just 492 00:29:13,280 --> 00:29:18,840 Speaker 1: my thoughts. Everyone, then we've actually been told the opposite 493 00:29:18,840 --> 00:29:19,800 Speaker 1: of what is true. 494 00:29:20,400 --> 00:29:23,640 Speaker 3: Yeah, And thinking about the time frame it was in 495 00:29:23,680 --> 00:29:26,600 Speaker 3: the early eighties that they started telling us that. Yeah, 496 00:29:26,680 --> 00:29:30,760 Speaker 3: and from that point these statistics have gone crazy on 497 00:29:31,280 --> 00:29:36,040 Speaker 3: cancer incidents. So and it's all well and good. You know, 498 00:29:36,080 --> 00:29:39,120 Speaker 3: people will say, oh, correlation does an equal causation. You 499 00:29:39,160 --> 00:29:42,440 Speaker 3: don't know what you're talking about, Gillespie. Sure, But then 500 00:29:42,480 --> 00:29:46,800 Speaker 3: you see studies like this starting to hit the press saying, actually, 501 00:29:46,840 --> 00:29:49,080 Speaker 3: we've done the digging, we've done the analysis, and it 502 00:29:49,120 --> 00:29:53,040 Speaker 3: looks like this could be true. You know that to me, 503 00:29:53,280 --> 00:29:56,960 Speaker 3: says Okay, now you really do need to step back, 504 00:29:57,440 --> 00:30:00,959 Speaker 3: because now it's not just a theory, it being shown 505 00:30:01,200 --> 00:30:03,320 Speaker 3: to be implicated in the development of cancer. 506 00:30:03,920 --> 00:30:09,440 Speaker 1: Mm hm hmm. Yeah. Tip you eat. You're a carnival, 507 00:30:09,520 --> 00:30:09,960 Speaker 1: aren't you. 508 00:30:11,640 --> 00:30:15,240 Speaker 2: I'm omnivore. Yeah, yeah, I do love a steak. And 509 00:30:15,280 --> 00:30:19,240 Speaker 2: you know what, I really love Christmas ham. 510 00:30:19,400 --> 00:30:21,320 Speaker 3: You know that comes from little piggies too. 511 00:30:21,720 --> 00:30:24,640 Speaker 2: No, what a dichotomy. 512 00:30:25,240 --> 00:30:29,080 Speaker 1: Listen to you, which do you feel a little bit? 513 00:30:29,600 --> 00:30:32,400 Speaker 1: I'm not trying to. I just I feel like you 514 00:30:32,480 --> 00:30:35,200 Speaker 1: must be a little bit conflicted because you're such an 515 00:30:35,200 --> 00:30:35,800 Speaker 1: animal lover. 516 00:30:36,200 --> 00:30:37,640 Speaker 3: It does it does? 517 00:30:37,880 --> 00:30:40,200 Speaker 2: I feel like if I did go down the rabbit hole, 518 00:30:40,720 --> 00:30:43,360 Speaker 2: it would affect Someone was talking about cooking duck the 519 00:30:43,400 --> 00:30:46,760 Speaker 2: other day, and I was in my mind assessing my 520 00:30:46,880 --> 00:30:50,480 Speaker 2: difference with thinking of little ducky how call of ducks. 521 00:30:50,520 --> 00:30:53,680 Speaker 2: I was like, oh, you can't make a duck stew. 522 00:30:54,120 --> 00:30:57,600 Speaker 2: Leave them alone, And then I think about the poor chickens. 523 00:30:57,160 --> 00:31:00,800 Speaker 1: Like, you know, what's funny is how we anthropomorphs animals 524 00:31:00,880 --> 00:31:06,120 Speaker 1: and we we rationalize. It's like we can rationalize eating tuna, 525 00:31:06,840 --> 00:31:09,640 Speaker 1: which is a thing that swims around the ocean. But 526 00:31:09,840 --> 00:31:12,520 Speaker 1: imagine if we I said, you know, I'm having dolphin 527 00:31:12,600 --> 00:31:16,160 Speaker 1: for dinner, people would be like fucking hysterical. You go, well, 528 00:31:16,200 --> 00:31:20,200 Speaker 1: it's just another thing in the ocean, and yeah, I know, 529 00:31:20,280 --> 00:31:23,280 Speaker 1: but it's cute and smart and so all right, so 530 00:31:23,360 --> 00:31:25,440 Speaker 1: if it's ugly and dumb, we can eat it. But 531 00:31:25,520 --> 00:31:28,560 Speaker 1: if it's cute and smart, you know. And I'm not 532 00:31:28,680 --> 00:31:31,440 Speaker 1: recommending anything, but it is just funny the stories that 533 00:31:31,480 --> 00:31:34,239 Speaker 1: we like. Whatever we do, we rationalize it. 534 00:31:34,520 --> 00:31:36,760 Speaker 3: Well, no one ever made a show about a tuna 535 00:31:36,840 --> 00:31:38,880 Speaker 3: called Flipper or something exactly. 536 00:31:38,920 --> 00:31:44,240 Speaker 1: That's my point. That's my You know, there is a 537 00:31:44,320 --> 00:31:49,560 Speaker 1: book this I think it was called Tubby Tubby Tuna. 538 00:31:50,240 --> 00:31:53,400 Speaker 1: Oh No, maybe I'm wrong, I do. I think there was, 539 00:31:54,040 --> 00:31:57,200 Speaker 1: but yeah, you're right. It's like, do you know that 540 00:31:57,640 --> 00:32:01,960 Speaker 1: people overseas are horror fired that Australians eat kangaroo? 541 00:32:02,680 --> 00:32:05,360 Speaker 3: Yeah? Absolutely, Look I lived in Germany for a little 542 00:32:05,360 --> 00:32:09,040 Speaker 3: while and they were really horrified at the thought that 543 00:32:09,080 --> 00:32:12,320 Speaker 3: we would and that we had to cull them, and 544 00:32:12,440 --> 00:32:14,960 Speaker 3: so even worse than eating them was killing them and 545 00:32:15,040 --> 00:32:20,720 Speaker 3: not eating them. Yeah. No, they're very horrified because they're 546 00:32:20,760 --> 00:32:21,160 Speaker 3: so cute. 547 00:32:21,880 --> 00:32:25,800 Speaker 1: Yeah, exactly. We were going to do more, but we're 548 00:32:25,800 --> 00:32:27,280 Speaker 1: going to let you off the hook because that was 549 00:32:27,320 --> 00:32:28,080 Speaker 1: a solid. 550 00:32:27,840 --> 00:32:33,040 Speaker 3: Seventy minutes and go as always, banging on forever about things. 551 00:32:33,560 --> 00:32:35,720 Speaker 1: Always good mate. I've got a question or two to 552 00:32:35,760 --> 00:32:38,040 Speaker 1: ask you off air, so stick around. But for now, mate, 553 00:32:38,040 --> 00:32:42,160 Speaker 1: we we appreciate you. Thank you so much for everything 554 00:32:42,160 --> 00:32:44,320 Speaker 1: you do. I know that I don't know if you 555 00:32:44,400 --> 00:32:45,959 Speaker 1: enjoy it or not. I think you do a little bit. 556 00:32:46,000 --> 00:32:47,320 Speaker 3: Wouldn't do it if I didn't. 557 00:32:47,680 --> 00:32:50,080 Speaker 1: I think you tolerate it more than celebrate it. But 558 00:32:50,440 --> 00:32:54,040 Speaker 1: you just feel sorry for me and Tiff. Thanks mate, 559 00:32:54,080 --> 00:32:56,280 Speaker 1: We appreciate you. Thanks for everything that you've done this 560 00:32:56,400 --> 00:32:59,000 Speaker 1: year and maybe I have a great Chrissy with the 561 00:32:59,080 --> 00:33:00,240 Speaker 1: fam and a great new year here. 562 00:33:00,720 --> 00:33:05,320 Speaker 3: Yeah, same to you. Guys, Thanks Mate, Thanks DEEV, Thanks boys, 563 00:33:06,200 --> 00:33:06,960 Speaker 3: No talk for you.